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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package measures :: Module base :: Class CombinedFeaturewiseDatasetMeasure
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Class CombinedFeaturewiseDatasetMeasure

source code

Set sensitivity analyzers to be merged into a single output
Nested Classes [hide private]

Inherited from misc.state.Stateful: __metaclass__

Instance Methods [hide private]
 
__init__(self, analyzers=None, combiner=<function FirstAxisMean at 0x873f48c>, **kwargs)
Initialize		 source code
 
_call(self, dataset)
Computes a per-feature-measure on a given Dataset.		 source code
 
_setAnalyzers(self, analyzers)
Set the analyzers		 source code

Inherited from FeaturewiseDatasetMeasure (private): _postcall

Inherited from DatasetMeasure: __call__, __str__

Inherited from misc.state.Stateful: __getattribute__, __repr__, __setattr__, reset

Inherited from object: __delattr__, __hash__, __new__, __reduce__, __reduce_ex__

Class Variables [hide private]
  sensitivities = StateVariable(enabled= False, doc= "Sensitivit...
  _collections_template = {'states': <mvpa.misc.state.StateColle...

Inherited from FeaturewiseDatasetMeasure: base_sensitivities

Inherited from DatasetMeasure: __doc__, null_prob, raw_result

Inherited from misc.state.Stateful (private): _initargs

Instance Variables [hide private]
  __combiner
Which functor to use to combine all sensitivities
  __analyzers
Analyzers to use
Properties [hide private]
  analyzers
Used analyzers

Inherited from misc.state.Stateful: descr

Inherited from object: __class__

Method Details [hide private]

__init__(self, analyzers=None, combiner=<function FirstAxisMean at 0x873f48c>, **kwargs)
(Constructor)

source code 
Initialize
Parameters:
  • combiner - If _call returned value is 2d -- combines along 2nd dimension as well as sets base_sensitivities TODO change combiner's default
Overrides: object.__init__
(inherited documentation)

_call(self, dataset)

source code 

Computes a per-feature-measure on a given Dataset.

Behaves like a DatasetMeasure, but computes and returns a 1d ndarray with one value per feature.

Overrides: DatasetMeasure._call
(inherited documentation)

Class Variable Details [hide private]

sensitivities

Value:
StateVariable(enabled= False, doc= "Sensitivities produced by each cla\
ssifier")

_collections_template

Value:
{'states': <mvpa.misc.state.StateCollection object at 0x873aeac>}

Property Details [hide private]

analyzers

Used analyzers
Get Method:
unreachable(x)
Set Method:
_setAnalyzers(self, analyzers) - Set the analyzers

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PyMVPA: Python MultiVariate Pattern Analysis
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